[Video Podcast] AI-Driven Development with Olivia McVicker

"Yes. Well, before we get into the AI tooling, I wanted to actually back up a little bit because I think developers have always been looking for ways to improve the code writing process. That's the tedium of our job sometimes. That's why we had IDEs that became popular. We went from having just notepad and text editors. I wanted auto complete and easy refactoring tools."

"Thank you so much, Thomas. I'm really excited to be here, as you said, kind of mapping out what we're going to be talking about today. The AI tooling space is a very exciting one. There's a lot of really cool things happening, and there's a lot of things to look back on and look forward towards. So really excited here to talk about the journey and look forward to what's next."

Generative AI represents the next evolution of developer tooling, extending IDE features and static analysis to provide generative coding assistance. Developers have long sought ways to reduce the tedium of writing and refactoring code, moving from text editors to advanced IDEs with autocompletion and refactoring tools. Generative models now complement or sometimes replace static tools by producing code suggestions, automating routine tasks, and accelerating development workflows. The AI tooling ecosystem contains both mainstream solutions and emerging, cutting-edge innovations that expand capabilities. Anticipated benefits include increased developer productivity, shifts in developer responsibilities, and new expectations for software architects and teams.

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